ISTADFuels - Italian SpatioTemporal Augmented Dataset on Fuels

We present a dataset for fuel sales analysis at the Italian provincial (NUTS3) level from January 2015 to October 2023 (release V3, January 2024). Fuel sales data are collected at monthly frequency, and are organized by fuel type, usage, and point of sale (highway, municipal road, extra-network road). Fuels data are augmented by a set of socio-economic and geographical variables, which help explain the impact of economic phenomena and topography on fuel sales. The data is collected from the Monthly oil Bullettin of Italian Ministry of Environment and Energy Security (MITE), ISTAT (Istituto Nazionale di Statistica), Bank of Italy and Eurostat, and has been collected through both automated web scraping and manual downloads, then cleaned and reshaped to be suitable for analysis. The produced dataset may be useful for spatiotemporal fuel sales forecasting, air quality analysis, urban mobility, econometric research, as well as machine learning applications. To further assist the user in finding valuable insight, an R Shiny app (freely available at the webpage https://ale-ch.shinyapps.io/it-fuel-dashboard/) was developed for data exploration. App code and the data have been made fully available on the following Github repository (https://github.com/ale-ch/it-fuel-dashboard). The app consists of interactive plots that allow the user to visualize every variable in the dataset at different time ranges and locations, allowing full flexibility in data exploration.本研究构建了2015年1月至2023年10月期间意大利省级（NUTS3）层面的燃油销售分析数据集（版本V3，2024年1月发布）。该数据集的燃油销售数据以月度为采集频率，按燃油类型、使用场景以及销售点位（高速公路、市政道路、非联网道路）进行分类组织。数据集额外整合了一系列社会经济与地理变量，可用于解析经济现象与地形地貌对燃油销售的影响机制。本数据集的数据来源包括意大利环境与能源安全部（Ministry of Environment and Energy Security, MITE）的月度石油公报、意大利国家统计局（Istituto Nazionale di Statistica, ISTAT）、意大利银行以及欧盟统计局（Eurostat）；数据采集方式涵盖自动化网络爬虫与手动下载两种途径，后续经过数据清洗与格式重构，以适配各类分析需求。本数据集可应用于时空燃油销售预测、空气质量分析、城市交通、计量经济学研究以及机器学习相关任务。为进一步协助用户挖掘数据价值，本研究开发了一款R Shiny应用（可通过https://ale-ch.shinyapps.io/it-fuel-dashboard/免费访问）用于数据探索；应用代码与数据集已完全开源至下述GitHub仓库：https://github.com/ale-ch/it-fuel-dashboard。该应用包含交互式可视化图表，支持用户按不同时间范围与地域维度查看数据集中的任一变量，为数据探索提供了高度灵活的操作空间。